Estimation of Induction Motor Parameters Using Hybrid Algorithms for Power System Dynamic Studies
MetadataShow full item record
This paper proposes a hybrid Newton-Raphson and genetic algorithm for the estimation of double cage induction motor parameters from commonly available manufacturer data. The hybrid algorithm was tested on a large data set of 6,380 IEC and NEMA motors and then compared with a baseline Newton-Raphson algorithm. The simulation results show that while the proposed hybrid algorithm is more computationally intensive, it does make significant improvements to convergence and error rates.
Showing items related by title, author, creator and subject.
Fullarton, Alexander (2018)This paper considers the impact on tax revenue as a consequence of the changing technology of motor vehicles. As motor vehicles transform their drive trains from internal combustion engines to electric motors their energy ...
Radiy, Mamon (2010)The vehicle routing problem (VRP) is to service a number of customers with a fleet of vehicles. The VRP is an important problem in the fields of transportation, distribution and logistics. Typically the VRP deals with the ...
Lim, Pei Yi (2011)At present, there are still a large number of people living in isolated areas, particularly in developing countries, who have no immediate access to the main electricity grid. Most of the energy demands of these remote ...